Imagen de Portada

Estimation of material parameter uncertainties using probabilistic and interval approaches

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Most, Thomas
Formato:	Preprint
Publicado:	2024
Materias:	Materials Science Probability Data Analysis, Statistics and Probability
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Identification of the parameters of complex constitutive models: Least squares minimization vs. Bayesian updating
por: Most, Thomas
Publicado: (2024)

Comparative study of ensemble-based uncertainty quantification methods for neural network interatomic potentials
por: Kurniawan, Yonatan, et al.
Publicado: (2025)

Calibration of Scanning Thermal Microscope using Optimal Estimation of Function Parameters by Iterated Linearization
por: Campbell, Anna Charvátová, et al.
Publicado: (2025)

Applications of machine learning in ion beam analysis of materials
por: da Silva, Tiago Fiorini
Publicado: (2024)

Datatractor: Metadata, automation, and registries for extractor interoperability in the chemical and materials sciences
por: Evans, Matthew L., et al.
Publicado: (2024)

Low dimensional fragment-based descriptors for property predictions in inorganic materials with machine learning
por: Islam, Md Mohaiminul
Publicado: (2024)

Importance of hyper-parameter optimization during training of physics-informed deep learning networks
por: Lenau, Ashley, et al.
Publicado: (2024)

Clustering in atom probe tomography data: coordination number metric, percolation-based parameter scaling, and size effects
por: Lazarev, Mykola, et al.
Publicado: (2026)

Quantitative approaches for multi-scale structural analysis with atomic resolution electron microscopy
por: Schnitzer, Noah, et al.
Publicado: (2025)

Hierarchical Bayesian approach for adaptive integration of Bragg peaks in time-of-flight neutron scattering data
por: Reshniak, Viktor, et al.
Publicado: (2024)

Understanding atom probe's analytical performance for iron oxides using correlation histograms and ab initio calculations
por: Kim, Se-Ho, et al.
Publicado: (2024)

Phase Retrieval of Highly Strained Bragg Coherent Diffraction Patterns using Supervised Convolutional Neural Network
por: Masto, Matteo, et al.
Publicado: (2025)

A model for positron annihilation in multi-layer systems by solving the diffusion equation using different positron affinities
por: Mathes, Lucian, et al.
Publicado: (2025)

Autonomous convergence of STM control parameters using Bayesian Optimization
por: Narasimha, Ganesh, et al.
Publicado: (2023)

Uncertainty-aware electronic density-functional distributions
por: Hansen, Teitur, et al.
Publicado: (2025)

Dynamic hysteresis model of grain-oriented ferromagnetic material using neural operators
por: Guo, Ziqing, et al.
Publicado: (2025)

Roadmap on Data-Centric Materials Science
por: Bauer, Stefan, et al.
Publicado: (2024)

3D deep learning for enhanced atom probe tomography analysis of nanoscale microstructures
por: Yu, Jiwei, et al.
Publicado: (2024)

nimCSO: A Nim package for Compositional Space Optimization
por: Krajewski, Adam M., et al.
Publicado: (2024)

Stable diffusion for the inverse design of microstructures
por: Zhang, Yixuan, et al.
Publicado: (2024)

Generalized Algorithm for Recognition of Complex Point Defects in Large-Scale β-$\rm {Ga_2O_3}$
por: Yan, Mengzhi, et al.
Publicado: (2024)

Two points are enough
por: Liu, Hao, et al.
Publicado: (2024)

Texture tomography with high angular resolution utilizing sparsity
por: Carlsen, Mads, et al.
Publicado: (2024)

An Assessment of Commonly Used Equivalent Circuit Models for Corrosion Analysis: A Bayesian Approach to Electrochemical Impedance Spectroscopy
por: Zhang, Runze, et al.
Publicado: (2024)

Ensemble-Based Data Assimilation for Material Model Characterization in High-Velocity Impact
por: Jin, Rong, et al.
Publicado: (2025)

Composition Design of Shape Memory Ceramics based on Gaussian Processes
por: Pandey, Ashutosh, et al.
Publicado: (2025)

Link Statistics of Dislocation Network during Strain Hardening
por: Akhondzadeh, Sh., et al.
Publicado: (2025)

Automated Extraction of Multicomponent Alloy Data Using Large Language Models for Sustainable Design
por: Sundaram, Aravindan Kamatchi, et al.
Publicado: (2026)

Revisiting the Question of Information Content of EXAFS Spectra through a Bayesian Approach
por: Haddad, Lucy, et al.
Publicado: (2025)

Three-dimensional (3D) tensor-based methodology for characterizing 3D anisotropic thermal conductivity tensor
por: Wang, Dihui, et al.
Publicado: (2025)

McSAS3: improved Monte Carlo small-angle scattering analysis software for dilute and dense scatterers
por: Pauw, Brian Richard, et al.
Publicado: (2026)

Electronic manifolds for extrapolative alloy discovery
por: Ray, Pranoy, et al.
Publicado: (2026)

Accurate Machine Learning Predictions of Coercivity in High-Performance Permanent Magnets
por: Bhandari, Churna, et al.
Publicado: (2023)

Model-free Analysis of Scattering and Imaging Data with Escort-Weighted Shannon Entropy and Divergence Matrices
por: Coles, Jared, et al.
Publicado: (2026)

Poleval: A Python package for HAXPES analysis
por: Engel, Robin Yoël, et al.
Publicado: (2025)

GenL: An extensible fitting program for Laue oscillations and whole pattern fitting
por: Ravensburg, Anna L., et al.
Publicado: (2023)

A unified descriptor framework for hydrogen storage capacity and equilibrium pressure in interstitial hydrides
por: Jang, Seong-Hoon, et al.
Publicado: (2026)

MJOLNIR: A Software Package for Multiplexing Neutron Spectrometers
por: Lass, Jakob, et al.
Publicado: (2020)

Wide-Surface Furnace for In Situ X-Ray Diffraction of Combinatorial Samples using a High-Throughput Approach
por: Cordaro, Giulio, et al.
Publicado: (2026)

Optical and X-ray Photo-emission Spectroscopies of Core/Shell Colloidal CdSe/CdS Quantum Dots: Modeling and Experimental Determination of Band Alignment
por: Simonot, Damien, et al.
Publicado: (2024)